Koukyosyumei / AIJackLinks
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
☆404Updated 2 months ago
Alternatives and similar repositories for AIJack
Users that are interested in AIJack are comparing it to the libraries listed below
Sorting:
- Breaching privacy in federated learning scenarios for vision and text☆303Updated last week
- Code for Data Poisoning Attacks Against Federated Learning Systems☆198Updated 4 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆301Updated 2 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆370Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆143Updated 6 months ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆196Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆301Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆153Updated 4 years ago
- ☆347Updated 2 months ago
- [NeurIPS 2019] Deep Leakage From Gradients☆449Updated 3 years ago
- ☆174Updated 10 months ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆105Updated last year
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆260Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆398Updated 10 months ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆730Updated 2 months ago
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- ☆193Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆674Updated 4 months ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Paper notes and code for differentially private machine learning☆355Updated 9 months ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆127Updated 2 weeks ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆19Updated 2 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆97Updated last year
- ☆315Updated last month